Conditioning a process-based fluvial model using a non-stationary multiple-point statistics approach

Petroleum Geostatistics 2007

Volumn , Issue , 2007, Pages

  Chugunova, T ^a   Hu, L Y ^a   Lerat, O ^a  

^a IFP ENERGIES NOUVELLES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUXILIARY VARIABLES; DEPOSITIONAL PROCESS; GEOMETRICAL FEATURES; MEANDERING CHANNEL; MULTIPLE-POINT STATISTICS; PRINCIPAL VARIABLES; PROCESS-BASED MODELING; SIMULATION EXAMPLE;

THREE DIMENSIONAL;

EID: 84900570457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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4. Journel, A.G., [2002], Combining knowledge from diverse sources: an alternative to traditional data independence hypotheses. Math. Geol., 34(5), p. 573-596.
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6. Strebelle, S., [2000], Sequential simulation drawing structures from training images. Ph.D thesis, Petroleum Engineering Department, Stanford University.
7. Strebelle, S., Payrazyan, K. and Caers, J. [2002], Modeling of a deepwater turbidity reservoir conditional to seismic data using multiple-point geostatistics. SPE 77425.
8. Strebelle, S. and Zhang, T., [2005], Non stationary multiple-point geostatistical models. Geostatistics Banff 2004, O. Leuangthong and C. Deutsch (eds.), p. 235-244, Springer.